How to Analyze Split Test Data
Interpreting Experiment Results
Once a test has reached significance, the real value comes from understanding why a variant won and what to do next.
1. Access Your Results
Open Dashboard → Split Testing and click the experiment you’d like to review.
2. Overview Panel
Status & Dates – confirms the experiment life‑cycle.
Randomization – Session‑ vs User‑Level.
Primary Goal – the metric that decides the winner.
Lift & Confidence – headline stats that tell you if the variant outperformed the control and by how much.
3. Insights & Metrics
Humblytics auto‑calculates a core set of engagement and conversion KPIs. Typical metrics include:
Click‑Through Rate (CTR)
Form Submission Rate
Bounce Rate
Average Session Time
Scroll Depth
Pro‑tip: Focus first on the metric that maps directly to your business goal, then sanity‑check secondary metrics for unintended trade‑offs.
4. Target Interactions
The Top Clicked Elements table surfaces high‑impact buttons, links, or CTAs.
Pin critical elements so they remain fixed at the top for faster reviews.
5. Real‑Time Monitoring
Live charts show performance trajectories as data streams in.
The Race to the Best bar visually indicates when a variant crosses the 95 % confidence threshold.
6. Declaring a Winner
Confirm statistical significance (default 95 % confidence).
Verify minimum‑sample thresholds are met for each variant.
Inspect secondary metrics to ensure there are no adverse effects (e.g., CTR ↑ but Bounce ↑ as well).
7. Rolling Out the Winning Variant
Deploy the successful design or flow in your CMS, site builder, or custom codebase.
Optionally keep the experiment running a few extra days to catch any regressions.
8. Iterating Forward
Log the hypothesis, outcome, and lessons learned in your testing backlog.
Use insights to craft the next hypothesis—optimization is a continuous loop.
Happy testing! Measure, learn, and iterate with confidence using Humblytics.
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